Introduction: What is Audit Analytics?; Jun Dai, Miklos A. Vasarhelyi, and Ann F. Medinets Part One: Audit Analytics Procedures 1. An Application of Exploratory Data Analysis in Auditing: Credit Card Retention Case; Qi Lui 2. Audit Analytics: A Field Study of Credit Card After-Sale Service Problem Detection at a Major Bank; Jun Dai, Paul Byrnes, Qi Liu, and Miklos A. Vasarhelyi Part Two: Analytics in Credit Card Audits 3. Automated Clustering: From Concept to Reality; Paul Byrnes 4. A Multi-Faceted Outlier Detection Scheme for Use in Clustering; Paul Byrnes 5.

Are Customers Offered Appropriate Discounts? An Exploratory Study of Using Clustering Techniques in Internal Auditing; Jun Dai, Paul Byrnes, and Miklos A. Vasarhelyi 6. Predicting Credit Card Delinquency: An Application of the Decision Tree Technique; Ting Sun and Miklos A. Vasarhelyi Part Three: Analytics in Insurance Audits 7. Cluster Analysis for Anomaly Detection in Accounting; Sutapat Thiprungsri 8. Multi-Dimensional Approaches to Anomaly Detection: A Study of Insurance Claims; Basma Moharram Part Four: Audit Analytics in Transitory Systems 9. Development of an Anomaly Detection Model for a Bank's Transitory Account System; Yongbum Kim 10. Development of an Anomaly Detection Model for an Insurance Company's Wire Transfer System; Yongbum Kim Part Five: Audit Analytics for Lawsuit Risk Detection 11.

A Legal Risk Prediction Model for Credit Cards; Feiqi Huang, Qi Liu, and Miklos A. Vasarhelyi Part Six: Audit Analytics in the Payment Process 12. Analyzing Payment Data and Its Process: A Bank Case; Karine Chandia and Miklos A. Vasarhelyi.